Visual Analytics

For an Italian association that brings together leasing companies, a statistical dashboard with the main performance indicators (KPIs) has been created that offers interactive graphs to member companies. Based on a Big Data search engine (ClouderaSearch) to ensure fast analysis on analyst-dependent datasets (i.e. where it is not possible to precalculate the data). The use of a search engine (and not a standard DB) decisively accelerates the entire process so as to create a Data Lake to centralize and analyze as much information as possible and create new services for members.

Exprivia Solution

The architecture designed by Exprivia fully responds to all these requests and allows the association to position itself as a leading pole in the world of leasing. The possibilities of data collection and analytical cross-referencing offer experts a “knowledge discovery” environment that is enriched day by day, increasingly useful and stimulating for devising and suggesting product, business and sector strategies.

Competitive Intelligence

For an Italian company engaged in the field of drilling and assembly, part of the largest Italian group in the oil sector, the business needs concern a tool capable of collecting and analyzing information relating to the contracts awarded. The data are broad and heterogeneous: economic volumes, competitors, locations, required standards, etc.

Exprivia Solution

Exprivia has created a platform based on Big Knowledge Artificial Intelligence to search a series of profiled sites for information relating to tenders. From these sources, entities and attributes are extrapolated for a quantitative/qualitative analysis of the information.

In a classic DB, useful information is structured for analysis such as the successful bidder, the price, the type of “construction”, the duration of the contract, etc., greatly reducing the time needed by analysts to find this information.